Unsupervised Machine Learning for Developing Personalised Behaviour Models Using Activity Data
The goal of this study is to address two major issues that undermine the large scale deployment of smart home sensing solutions in people’s homes. These include the costs associated with having to install and maintain a large number of sensors, and the pragmatics of annotating numerous sensor data s...
Main Authors: | Laura Fiorini, Filippo Cavallo, Paolo Dario, Alexandra Eavis, Praminda Caleb-Solly |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-05-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/17/5/1034 |
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